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intai2070
/
tooka-bert-large-sentiment

Text Classification
Transformers
Safetensors
Persian
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use intai2070/tooka-bert-large-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use intai2070/tooka-bert-large-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="intai2070/tooka-bert-large-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("intai2070/tooka-bert-large-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("intai2070/tooka-bert-large-sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
tooka-bert-large-sentiment
1.42 GB
Ctrl+K
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  • 1 contributor
History: 22 commits
IRI2070's picture
IRI2070
Update README.md
a6208a7 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    2.78 kB
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  • all_results.json
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  • config.json
    842 Bytes
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  • eval_results.json
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  • model.safetensors
    1.41 GB
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  • tokenizer.json
    3.97 MB
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  • tokenizer_config.json
    542 Bytes
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  • train_results.json
    238 Bytes
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  • trainer_state.json
    4.82 kB
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  • training_args.bin

    Detected Pickle imports (10)

    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.SaveStrategy",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "accelerate.state.PartialState",
    • "torch.device",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.training_args.OptimizerNames"

    How to fix it?

    4.79 kB
    xet
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